Overview

Dataset statistics

Number of variables20
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.2 KiB
Average record size in memory160.5 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:54:59.762467
Analysis finished2020-08-25 00:55:54.551138
Duration54.79 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.905726432800293e-10
Minimum-1.855173945426941
Maximum1.6975785493850708
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:54.765760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.855173945
5-th percentile-1.608801359
Q1-0.7497914732
median-0.002720941789
Q30.844059363
95-th percentile1.52821734
Maximum1.697578549
Range3.552752495
Interquartile range (IQR)1.593850836

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-3441480212
Kurtosis-1.068033067
Mean-2.905726433e-10
Median Absolute Deviation (MAD)0.7888576388
Skewness-0.048664381
Sum-7.264316082e-08
Variance1.000000004
2020-08-25T00:55:54.866564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.4946057810.4%
 
-1.60780417910.4%
 
0.565612733410.4%
 
1.50817668410.4%
 
-1.34996974510.4%
 
-1.76329612710.4%
 
0.634934902210.4%
 
-0.381919950210.4%
 
-1.35970723610.4%
 
-0.378255397110.4%
 
0.864420652410.4%
 
0.8473275910.4%
 
-1.22590017310.4%
 
1.69757854910.4%
 
-0.836581468610.4%
 
0.0716741457610.4%
 
-1.10669243310.4%
 
0.544580936410.4%
 
-0.514302253710.4%
 
-0.790180742710.4%
 
-1.27762031610.4%
 
0.93373185410.4%
 
-0.717909157310.4%
 
1.17214441310.4%
 
-0.592419385910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.85517394510.4%
 
-1.84721386410.4%
 
-1.83309495410.4%
 
-1.82815790210.4%
 
-1.81327974810.4%
 
-1.79461514910.4%
 
-1.76329612710.4%
 
-1.73686659310.4%
 
-1.68567907810.4%
 
-1.67927861210.4%
 
ValueCountFrequency (%) 
1.69757854910.4%
 
1.68465602410.4%
 
1.66453564210.4%
 
1.65580034310.4%
 
1.64845919610.4%
 
1.62839305410.4%
 
1.62465405510.4%
 
1.60415101110.4%
 
1.59693777610.4%
 
1.57192170610.4%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.195638656616211e-10
Minimum-1.7664105892181396
Maximum1.6703453063964844
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:54.986256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.766410589
5-th percentile-1.67666145
Q1-0.7509859204
median0.05050718412
Q30.8434187025
95-th percentile1.505620134
Maximum1.670345306
Range3.436755896
Interquartile range (IQR)1.594404623

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1220161166
Kurtosis-1.137883008
Mean8.195638657e-10
Median Absolute Deviation (MAD)0.7997740544
Skewness-0.1130683569
Sum2.048909664e-07
Variance1.000000004
2020-08-25T00:55:55.089504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.21732270710.4%
 
0.801916599310.4%
 
0.661318659810.4%
 
1.17809891710.4%
 
0.29348662510.4%
 
-0.504085481210.4%
 
1.03187334510.4%
 
-1.33531105510.4%
 
0.397002816210.4%
 
1.12924349310.4%
 
-0.0749171450710.4%
 
-0.971355438210.4%
 
1.42317986510.4%
 
-1.7336362610.4%
 
0.261799097110.4%
 
-1.66962218310.4%
 
1.48510515710.4%
 
1.62584805510.4%
 
-0.624019622810.4%
 
0.119549542710.4%
 
0.268239468310.4%
 
-1.54244875910.4%
 
-1.35282075410.4%
 
0.960098624210.4%
 
1.01003885310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.76641058910.4%
 
-1.76358640210.4%
 
-1.75930464310.4%
 
-1.7336362610.4%
 
-1.72962856310.4%
 
-1.72898018410.4%
 
-1.72831273110.4%
 
-1.72708511410.4%
 
-1.72599244110.4%
 
-1.70292878210.4%
 
ValueCountFrequency (%) 
1.67034530610.4%
 
1.65314400210.4%
 
1.626236210.4%
 
1.62584805510.4%
 
1.61120665110.4%
 
1.60026824510.4%
 
1.58988475810.4%
 
1.58776080610.4%
 
1.57725095710.4%
 
1.56427884110.4%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1175870895385742e-10
Minimum-1.5760730504989624
Maximum1.7976607084274292
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:55.201965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.57607305
5-th percentile-1.396306795
Q1-0.8881700188
median-0.08834989369
Q30.8519089073
95-th percentile1.702387166
Maximum1.797660708
Range3.373733759
Interquartile range (IQR)1.740078926

Descriptive statistics

Standard deviation0.9999999966
Coefficient of variation (CV)-8947848503
Kurtosis-1.158522195
Mean-1.11758709e-10
Median Absolute Deviation (MAD)0.8614428043
Skewness0.2296444989
Sum-2.793967724e-08
Variance0.9999999931
2020-08-25T00:55:55.302381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.777952551810.4%
 
-1.371414910.4%
 
0.0323605462910.4%
 
-0.408784151110.4%
 
-1.17126536410.4%
 
-1.3353209510.4%
 
-1.5325843110.4%
 
1.71237921710.4%
 
0.0589404888510.4%
 
-1.42710912210.4%
 
-0.640800058810.4%
 
-0.0831513926410.4%
 
1.05697715310.4%
 
1.13412475610.4%
 
-1.53548550610.4%
 
-0.88638979210.4%
 
1.24875724310.4%
 
0.465411037210.4%
 
-0.457353591910.4%
 
0.082170508810.4%
 
1.1145672810.4%
 
-1.52629685410.4%
 
-1.16339039810.4%
 
-0.943021774310.4%
 
-0.242760255910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.5760730510.4%
 
-1.57595527210.4%
 
-1.56723034410.4%
 
-1.53548550610.4%
 
-1.53427195510.4%
 
-1.5325843110.4%
 
-1.52629685410.4%
 
-1.44661235810.4%
 
-1.42771303710.4%
 
-1.42710912210.4%
 
ValueCountFrequency (%) 
1.79766070810.4%
 
1.7942080510.4%
 
1.79023885710.4%
 
1.7806590810.4%
 
1.77334880810.4%
 
1.76063466110.4%
 
1.75705683210.4%
 
1.75254881410.4%
 
1.7509151710.4%
 
1.75077700610.4%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6123598217964174e-09
Minimum-1.6552928686141968
Maximum1.7204837799072266
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:55.425116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.655292869
5-th percentile-1.552415365
Q1-0.8649091125
median0.03558090515
Q30.8360996395
95-th percentile1.527033192
Maximum1.72048378
Range3.375776649
Interquartile range (IQR)1.701008752

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)382795659.7
Kurtosis-1.225522775
Mean2.612359822e-09
Median Absolute Deviation (MAD)0.8507301807
Skewness-0.02277303965
Sum6.530899554e-07
Variance1.000000003
2020-08-25T00:55:55.533115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.38769280910.4%
 
1.34114825710.4%
 
0.396820604810.4%
 
-1.22660422310.4%
 
-1.34729552310.4%
 
-0.769220769410.4%
 
-0.841971516610.4%
 
1.25330400510.4%
 
0.0195061527210.4%
 
0.648119926510.4%
 
0.986158013310.4%
 
-1.12338602510.4%
 
-1.45150864110.4%
 
-1.01889026210.4%
 
-0.312617272110.4%
 
0.989253222910.4%
 
1.00710153610.4%
 
0.00366461579710.4%
 
1.6008900410.4%
 
-0.126746758810.4%
 
-1.36553525910.4%
 
1.69561290710.4%
 
-1.54912471810.4%
 
0.745264530210.4%
 
-0.464672446310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.65529286910.4%
 
-1.65450990210.4%
 
-1.6516547210.4%
 
-1.63634085710.4%
 
-1.63241171810.4%
 
-1.62251734710.4%
 
-1.61930882910.4%
 
-1.61530387410.4%
 
-1.60419547610.4%
 
-1.56608092810.4%
 
ValueCountFrequency (%) 
1.7204837810.4%
 
1.69561290710.4%
 
1.68661832810.4%
 
1.68647968810.4%
 
1.67930901110.4%
 
1.65207076110.4%
 
1.63480889810.4%
 
1.60881364310.4%
 
1.6008900410.4%
 
1.59042620710.4%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.0621886217829798e-09
Minimum-1.5406086444854736
Maximum1.7442033290863037
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:55.658387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.540608644
5-th percentile-1.450788307
Q1-0.9289590716
median-0.03877685871
Q30.8135535121
95-th percentile1.558354878
Maximum1.744203329
Range3.284811974
Interquartile range (IQR)1.742512584

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)-326563815
Kurtosis-1.258161826
Mean-3.062188622e-09
Median Absolute Deviation (MAD)0.8666536212
Skewness0.1165516649
Sum-7.655471554e-07
Variance0.9999999973
2020-08-25T00:55:55.762705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.814939439310.4%
 
-1.02277517310.4%
 
-0.0803280696310.4%
 
1.19956767610.4%
 
0.23869116610.4%
 
-0.472987145210.4%
 
1.31979286710.4%
 
-0.887377500510.4%
 
1.50449335610.4%
 
-1.09115815210.4%
 
-1.4388071310.4%
 
1.71353757410.4%
 
-0.846819996810.4%
 
1.47004699710.4%
 
-0.950524449310.4%
 
0.90689480310.4%
 
-0.0535052157910.4%
 
-0.897144615710.4%
 
0.145911082610.4%
 
0.282299995410.4%
 
-0.464916527310.4%
 
0.799091994810.4%
 
0.545062243910.4%
 
0.543596386910.4%
 
-0.989001333710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.54060864410.4%
 
-1.52969360410.4%
 
-1.51864635910.4%
 
-1.50537514710.4%
 
-1.49724674210.4%
 
-1.49682176110.4%
 
-1.49316859210.4%
 
-1.48832428510.4%
 
-1.48471820410.4%
 
-1.46927666710.4%
 
ValueCountFrequency (%) 
1.74420332910.4%
 
1.74306309210.4%
 
1.73092496410.4%
 
1.72610437910.4%
 
1.71983683110.4%
 
1.71788108310.4%
 
1.71679139110.4%
 
1.71667408910.4%
 
1.71353757410.4%
 
1.62104880810.4%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.217028617858886e-09
Minimum-1.6485178470611572
Maximum1.535771727561951
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:55.877512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.648517847
5-th percentile-1.48052398
Q1-0.9420555979
median0.08529283106
Q31.009525269
95-th percentile1.431082654
Maximum1.535771728
Range3.184289575
Interquartile range (IQR)1.951580867

Descriptive statistics

Standard deviation1.000000009
Coefficient of variation (CV)-237133797.1
Kurtosis-1.388358868
Mean-4.217028618e-09
Median Absolute Deviation (MAD)0.9747637957
Skewness-0.03522440618
Sum-1.054257154e-06
Variance1.000000017
2020-08-25T00:55:55.984546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.105956979110.4%
 
-0.396084517210.4%
 
0.264505326710.4%
 
-0.12174028910.4%
 
-0.598551452210.4%
 
-0.638377487710.4%
 
-0.131395906210.4%
 
0.577827930510.4%
 
-1.15955734310.4%
 
1.29939234310.4%
 
1.10584247110.4%
 
-1.50329875910.4%
 
0.82537901410.4%
 
1.46032571810.4%
 
1.23915219310.4%
 
1.11337351810.4%
 
-1.22099173110.4%
 
-1.62437164810.4%
 
-0.516773521910.4%
 
1.10190248510.4%
 
-1.06283187910.4%
 
-1.43685495910.4%
 
1.17382466810.4%
 
0.0842488706110.4%
 
1.17317354710.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.64851784710.4%
 
-1.64476692710.4%
 
-1.62437164810.4%
 
-1.61775481710.4%
 
-1.6113967910.4%
 
-1.57972645810.4%
 
-1.57744145410.4%
 
-1.55733239710.4%
 
-1.53141152910.4%
 
-1.52791309410.4%
 
ValueCountFrequency (%) 
1.53577172810.4%
 
1.53432631510.4%
 
1.52604985210.4%
 
1.49303364810.4%
 
1.49200844810.4%
 
1.49069213910.4%
 
1.47914624210.4%
 
1.46687591110.4%
 
1.46032571810.4%
 
1.45674943910.4%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.932734787464142e-09
Minimum-1.7806966304779053
Maximum1.5914340019226074
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:56.105553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.78069663
5-th percentile-1.568106067
Q1-0.8679971844
median-0.01455982774
Q30.8881289363
95-th percentile1.458045435
Maximum1.591434002
Range3.372130632
Interquartile range (IQR)1.756126121

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)340978668.2
Kurtosis-1.288758594
Mean2.932734787e-09
Median Absolute Deviation (MAD)0.8712479398
Skewness-0.07120349714
Sum7.331836969e-07
Variance1.000000004
2020-08-25T00:55:56.209352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.52831685510.4%
 
0.645181655910.4%
 
-0.944165289410.4%
 
1.25231814410.4%
 
-0.210260763810.4%
 
0.458096653210.4%
 
-1.06285381310.4%
 
-0.377529144310.4%
 
1.37925088410.4%
 
-0.594897687410.4%
 
-0.19667735710.4%
 
1.34115850910.4%
 
-0.71794116510.4%
 
0.25520974410.4%
 
0.672528088110.4%
 
1.02116048310.4%
 
-0.931283175910.4%
 
-0.478106975610.4%
 
-1.39875328510.4%
 
1.27801096410.4%
 
0.124004140510.4%
 
1.45636093610.4%
 
0.587554514410.4%
 
-0.656687140510.4%
 
1.15654659310.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.7806966310.4%
 
-1.76059961310.4%
 
-1.68349146810.4%
 
-1.67385196710.4%
 
-1.67356491110.4%
 
-1.67337405710.4%
 
-1.64658534510.4%
 
-1.63839459410.4%
 
-1.63452148410.4%
 
-1.60985469810.4%
 
ValueCountFrequency (%) 
1.59143400210.4%
 
1.58073294210.4%
 
1.57432532310.4%
 
1.55071985710.4%
 
1.54993736710.4%
 
1.54978740210.4%
 
1.53785085710.4%
 
1.53151440610.4%
 
1.52831685510.4%
 
1.52281534710.4%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3299286365509033e-09
Minimum-1.6958551406860352
Maximum1.5501756668090818
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:56.327757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.695855141
5-th percentile-1.476050389
Q1-0.9250367582
median0.04246111214
Q30.9720481634
95-th percentile1.465747583
Maximum1.550175667
Range3.246030807
Interquartile range (IQR)1.897084922

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-751920046.7
Kurtosis-1.319930948
Mean-1.329928637e-09
Median Absolute Deviation (MAD)0.9572528452
Skewness-0.02451213302
Sum-3.324821591e-07
Variance1.000000005
2020-08-25T00:55:56.437107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.31054663710.4%
 
0.731125593210.4%
 
0.167773693810.4%
 
-0.325830519210.4%
 
1.36757063910.4%
 
1.0154335510.4%
 
-0.0690152570610.4%
 
0.110435858410.4%
 
-0.904664874110.4%
 
1.54723238910.4%
 
-1.06480956110.4%
 
-0.089621722710.4%
 
1.46812605910.4%
 
0.832205891610.4%
 
0.571947276610.4%
 
-0.946641504810.4%
 
-0.721330344710.4%
 
-1.02474594110.4%
 
-0.136759191810.4%
 
-0.329425603210.4%
 
-0.0976758301310.4%
 
-1.48561418110.4%
 
1.41534435710.4%
 
1.1858506210.4%
 
-0.72768944510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69585514110.4%
 
-1.69141805210.4%
 
-1.67212510110.4%
 
-1.66586458710.4%
 
-1.65836465410.4%
 
-1.64509105710.4%
 
-1.57433807810.4%
 
-1.57103252410.4%
 
-1.56371402710.4%
 
-1.55450582510.4%
 
ValueCountFrequency (%) 
1.55017566710.4%
 
1.54723238910.4%
 
1.53662645810.4%
 
1.52315163610.4%
 
1.52287840810.4%
 
1.5181095610.4%
 
1.518058310.4%
 
1.5091813810.4%
 
1.50843644110.4%
 
1.48832595310.4%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.4287728521699137e-09
Minimum-1.6542513370513916
Maximum1.780211091041565
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:56.552697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.654251337
5-th percentile-1.502744085
Q1-0.8933180869
median0.003310848973
Q30.8860269338
95-th percentile1.52422834
Maximum1.780211091
Range3.434462428
Interquartile range (IQR)1.779345021

Descriptive statistics

Standard deviation0.9999999967
Coefficient of variation (CV)-411730555.9
Kurtosis-1.318089587
Mean-2.428772852e-09
Median Absolute Deviation (MAD)0.8852126896
Skewness0.0473923241
Sum-6.07193213e-07
Variance0.9999999934
2020-08-25T00:55:56.658359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.223144352410.4%
 
-1.07355630410.4%
 
0.200729250910.4%
 
-0.756040394310.4%
 
1.29330265510.4%
 
-0.0943212956210.4%
 
-0.778981447210.4%
 
0.215533122410.4%
 
0.170208796910.4%
 
0.646358132410.4%
 
-1.34310364710.4%
 
-0.577800035510.4%
 
-1.03352618210.4%
 
-0.0170185565910.4%
 
-0.717444598710.4%
 
-1.0790386210.4%
 
1.66627144810.4%
 
-1.00421237910.4%
 
-0.758940637110.4%
 
0.275646328910.4%
 
1.17553389110.4%
 
0.551904380310.4%
 
-1.29911875710.4%
 
-0.69203823810.4%
 
-0.828753471410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.65425133710.4%
 
-1.6488746410.4%
 
-1.64348959910.4%
 
-1.60097575210.4%
 
-1.59832739810.4%
 
-1.55319154310.4%
 
-1.54591500810.4%
 
-1.52450001210.4%
 
-1.51724708110.4%
 
-1.51471018810.4%
 
ValueCountFrequency (%) 
1.78021109110.4%
 
1.77759933510.4%
 
1.77303504910.4%
 
1.66627144810.4%
 
1.65869295610.4%
 
1.63951730710.4%
 
1.60578739610.4%
 
1.58813357410.4%
 
1.58810317510.4%
 
1.563353310.4%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3082830011844634e-09
Minimum-1.6390385627746582
Maximum1.7198952436447144
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:56.775500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.639038563
5-th percentile-1.486388642
Q1-0.8952663094
median-0.05090389773
Q30.8465350121
95-th percentile1.58063907
Maximum1.719895244
Range3.358933806
Interquartile range (IQR)1.741801322

Descriptive statistics

Standard deviation0.9999999978
Coefficient of variation (CV)433222441.6
Kurtosis-1.279747298
Mean2.308283001e-09
Median Absolute Deviation (MAD)0.8819954805
Skewness0.08019521462
Sum5.770707503e-07
Variance0.9999999955
2020-08-25T00:55:56.878654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.895994961310.4%
 
-1.05215454110.4%
 
-0.811702191810.4%
 
0.919123470810.4%
 
0.677816629410.4%
 
-0.0595113113510.4%
 
-1.16343390910.4%
 
-1.50927305210.4%
 
0.689624309510.4%
 
-0.943041503410.4%
 
0.719895958910.4%
 
-1.11361324810.4%
 
0.0359743535510.4%
 
0.760907530810.4%
 
-1.23958945310.4%
 
-1.45344698410.4%
 
-0.0213359594310.4%
 
1.61198270310.4%
 
-0.409259676910.4%
 
1.16535568210.4%
 
1.32381272310.4%
 
1.32550835610.4%
 
0.435623377610.4%
 
0.124164238610.4%
 
0.0319611914510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63903856310.4%
 
-1.62134909610.4%
 
-1.61593544510.4%
 
-1.60330438610.4%
 
-1.5997005710.4%
 
-1.59820604310.4%
 
-1.55908942210.4%
 
-1.52718782410.4%
 
-1.52689921910.4%
 
-1.5139937410.4%
 
ValueCountFrequency (%) 
1.71989524410.4%
 
1.69815766810.4%
 
1.69431555310.4%
 
1.69202125110.4%
 
1.68583226210.4%
 
1.6719322210.4%
 
1.65571594210.4%
 
1.65093946510.4%
 
1.64772021810.4%
 
1.61198270310.4%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.2121315598487853e-09
Minimum-1.8896855115890503
Maximum1.6203895807266235
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:57.038641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.889685512
5-th percentile-1.585246247
Q1-0.7944657207
median0.05093700066
Q30.8652610183
95-th percentile1.508133841
Maximum1.620389581
Range3.510075092
Interquartile range (IQR)1.659726739

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-311319751.7
Kurtosis-1.121222192
Mean-3.21213156e-09
Median Absolute Deviation (MAD)0.8328771554
Skewness-0.1643306015
Sum-8.0303289e-07
Variance0.9999999994
2020-08-25T00:55:57.173437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0121368728610.4%
 
0.962255716310.4%
 
-0.305508911610.4%
 
0.271844476510.4%
 
-0.617364406610.4%
 
-1.031593810.4%
 
0.297692626710.4%
 
1.53451204310.4%
 
0.331623971510.4%
 
-0.364188313510.4%
 
0.0570267587910.4%
 
1.41420495510.4%
 
0.9731130610.4%
 
-1.73007500210.4%
 
-0.696006715310.4%
 
0.670722246210.4%
 
0.00109935062910.4%
 
0.666160404710.4%
 
-1.53056085110.4%
 
0.85121619710.4%
 
-1.28543794210.4%
 
1.44443476210.4%
 
1.62038958110.4%
 
0.0463948920410.4%
 
1.04518115510.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.88968551210.4%
 
-1.86703324310.4%
 
-1.86351764210.4%
 
-1.8264259110.4%
 
-1.81143355410.4%
 
-1.79472780210.4%
 
-1.77634215410.4%
 
-1.74599325710.4%
 
-1.73007500210.4%
 
-1.64048039910.4%
 
ValueCountFrequency (%) 
1.62038958110.4%
 
1.60530674510.4%
 
1.58473265210.4%
 
1.5826176410.4%
 
1.57404375110.4%
 
1.5697214610.4%
 
1.55290865910.4%
 
1.5512998110.4%
 
1.53454756710.4%
 
1.53451204310.4%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.940696716308593e-10
Minimum-1.777321457862854
Maximum1.591051697731018
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:57.290501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.777321458
5-th percentile-1.641249746
Q1-0.9217044264
median0.13335412
Q30.8220075369
95-th percentile1.450694501
Maximum1.591051698
Range3.368373156
Interquartile range (IQR)1.743711963

Descriptive statistics

Standard deviation0.9999999959
Coefficient of variation (CV)1118481062
Kurtosis-1.22837676
Mean8.940696716e-10
Median Absolute Deviation (MAD)0.8767345622
Skewness-0.1982286154
Sum2.235174179e-07
Variance0.9999999918
2020-08-25T00:55:57.394456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.01270079610.4%
 
0.133464559910.4%
 
-0.0120803732410.4%
 
0.930369019510.4%
 
-0.930855870210.4%
 
1.12831163410.4%
 
0.313570886910.4%
 
-1.05310535410.4%
 
0.976740181410.4%
 
1.44444155710.4%
 
1.08771884410.4%
 
-1.18100941210.4%
 
0.393687903910.4%
 
1.46757054310.4%
 
0.292808502910.4%
 
-0.078511856510.4%
 
0.933236718210.4%
 
1.34440553210.4%
 
-0.252520680410.4%
 
0.158364564210.4%
 
0.667148411310.4%
 
0.0380344986910.4%
 
1.42073237910.4%
 
1.18877255910.4%
 
-1.26689648610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.77732145810.4%
 
-1.77412605310.4%
 
-1.76740634410.4%
 
-1.74285316510.4%
 
-1.73159396610.4%
 
-1.71379113210.4%
 
-1.69208753110.4%
 
-1.68233239710.4%
 
-1.67368376310.4%
 
-1.66570675410.4%
 
ValueCountFrequency (%) 
1.59105169810.4%
 
1.56422746210.4%
 
1.56027674710.4%
 
1.54537653910.4%
 
1.53850948810.4%
 
1.53689277210.4%
 
1.52796649910.4%
 
1.52092337610.4%
 
1.51267218610.4%
 
1.48840594310.4%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9439106583595276e-09
Minimum-1.761452078819275
Maximum1.604509353637695
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:57.527892image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.761452079
5-th percentile-1.587604082
Q1-0.880861029
median-0.03075383697
Q30.8988167644
95-th percentile1.456404889
Maximum1.604509354
Range3.365961432
Interquartile range (IQR)1.779677793

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-339684221.3
Kurtosis-1.229579598
Mean-2.943910658e-09
Median Absolute Deviation (MAD)0.8784100711
Skewness-0.03826942968
Sum-7.359776646e-07
Variance0.9999999992
2020-08-25T00:55:57.632276image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.11132800610.4%
 
-1.54364275910.4%
 
-1.70115613910.4%
 
0.400273650910.4%
 
-0.441739648610.4%
 
-0.0288622025410.4%
 
-1.31842505910.4%
 
-1.13316094910.4%
 
1.36924719810.4%
 
-0.802415847810.4%
 
1.50424206310.4%
 
-1.04037058410.4%
 
0.974281847510.4%
 
-0.207165494610.4%
 
1.40461301810.4%
 
0.00160469394210.4%
 
-0.797980904610.4%
 
1.35869741410.4%
 
-0.149083405710.4%
 
1.02469706510.4%
 
-0.29167792210.4%
 
1.14090490310.4%
 
-0.205723047310.4%
 
-1.62820482310.4%
 
-0.936660647410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.76145207910.4%
 
-1.74360954810.4%
 
-1.74333965810.4%
 
-1.73532211810.4%
 
-1.70115613910.4%
 
-1.68156015910.4%
 
-1.67945420710.4%
 
-1.67300832310.4%
 
-1.62820482310.4%
 
-1.62274932910.4%
 
ValueCountFrequency (%) 
1.60450935410.4%
 
1.59727823710.4%
 
1.59175646310.4%
 
1.58895611810.4%
 
1.58865857110.4%
 
1.55476295910.4%
 
1.54656112210.4%
 
1.53186595410.4%
 
1.50526070610.4%
 
1.50424206310.4%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.292675729125392e-09
Minimum-1.8265769481658936
Maximum1.824801087379456
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:57.911109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.826576948
5-th percentile-1.519765043
Q1-0.8547400534
median0.03979481943
Q30.7939321697
95-th percentile1.640317905
Maximum1.824801087
Range3.651378036
Interquartile range (IQR)1.648672223

Descriptive statistics

Standard deviation1.000000004
Coefficient of variation (CV)-773589215.8
Kurtosis-1.075211641
Mean-1.292675729e-09
Median Absolute Deviation (MAD)0.8318017852
Skewness0.02038253048
Sum-3.231689323e-07
Variance1.000000007
2020-08-25T00:55:58.019659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.627928018610.4%
 
-0.245090141910.4%
 
0.62173569210.4%
 
0.599783897410.4%
 
0.49955540910.4%
 
-0.468175858310.4%
 
0.278647035410.4%
 
0.995280206210.4%
 
-1.16174483310.4%
 
-0.226505219910.4%
 
-1.09016394610.4%
 
-1.23760092310.4%
 
0.516270756710.4%
 
-0.381669700110.4%
 
1.26593458710.4%
 
0.744294047410.4%
 
-0.653447866410.4%
 
-1.81572735310.4%
 
-0.8565934310.4%
 
1.12920069710.4%
 
0.0323089472910.4%
 
-0.924260020310.4%
 
-0.536765694610.4%
 
-1.60184466810.4%
 
-1.5959812410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.82657694810.4%
 
-1.81572735310.4%
 
-1.80421638510.4%
 
-1.76833701110.4%
 
-1.72566020510.4%
 
-1.66697335210.4%
 
-1.64480686210.4%
 
-1.60370540610.4%
 
-1.60184466810.4%
 
-1.5959812410.4%
 
ValueCountFrequency (%) 
1.82480108710.4%
 
1.81856620310.4%
 
1.7967965610.4%
 
1.77786755610.4%
 
1.75176858910.4%
 
1.7461193810.4%
 
1.7331538210.4%
 
1.73128664510.4%
 
1.71689665310.4%
 
1.68174314510.4%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.866190910339355e-10
Minimum-1.6976412534713743
Maximum1.637326955795288
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:58.145631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.697641253
5-th percentile-1.536036283
Q1-0.8702360839
median-0.01864034031
Q30.9083628953
95-th percentile1.481383193
Maximum1.637326956
Range3.334968209
Interquartile range (IQR)1.778598979

Descriptive statistics

Standard deviation0.9999999965
Coefficient of variation (CV)1127880063
Kurtosis-1.269394026
Mean8.86619091e-10
Median Absolute Deviation (MAD)0.8926523337
Skewness-0.03272093167
Sum2.216547728e-07
Variance0.999999993
2020-08-25T00:55:58.257067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.60643792210.4%
 
-1.44855332410.4%
 
-0.114163339110.4%
 
1.45464825610.4%
 
-1.31898689310.4%
 
1.10093355210.4%
 
0.0534775592410.4%
 
-1.49838721810.4%
 
-0.178753510110.4%
 
1.39877569710.4%
 
-0.899091482210.4%
 
0.376546412710.4%
 
-1.26119232210.4%
 
-1.51594412310.4%
 
-1.46515786610.4%
 
1.30560159710.4%
 
1.52367472610.4%
 
0.714996516710.4%
 
0.60073602210.4%
 
0.1404455910.4%
 
0.269603967710.4%
 
0.764646351310.4%
 
-0.847305417110.4%
 
0.0852219462410.4%
 
-1.27956235410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69764125310.4%
 
-1.69551837410.4%
 
-1.69097125510.4%
 
-1.67759442310.4%
 
-1.66601848610.4%
 
-1.65915036210.4%
 
-1.64915263710.4%
 
-1.62488937410.4%
 
-1.60997784110.4%
 
-1.59255003910.4%
 
ValueCountFrequency (%) 
1.63732695610.4%
 
1.6080784810.4%
 
1.60643792210.4%
 
1.59861850710.4%
 
1.58423948310.4%
 
1.57223224610.4%
 
1.57117795910.4%
 
1.55600154410.4%
 
1.52367472610.4%
 
1.49624693410.4%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6316771489499614e-09
Minimum-1.7471837997436523
Maximum1.7435725927352903
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:58.371757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.7471838
5-th percentile-1.505282861
Q1-0.9086806178
median0.03720573522
Q30.8928959221
95-th percentile1.500530148
Maximum1.743572593
Range3.490756392
Interquartile range (IQR)1.80157654

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)612866339.9
Kurtosis-1.266688976
Mean1.631677149e-09
Median Absolute Deviation (MAD)0.9065732155
Skewness-0.04831790725
Sum4.079192872e-07
Variance1.000000004
2020-08-25T00:55:58.478973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.959475219210.4%
 
-0.817062616310.4%
 
-1.41102528610.4%
 
-1.51700234410.4%
 
-1.38806915310.4%
 
1.14392375910.4%
 
-1.66345310210.4%
 
-0.0296840276610.4%
 
0.949091970910.4%
 
-0.511338651210.4%
 
0.967460393910.4%
 
-0.809256136410.4%
 
0.97288978110.4%
 
1.34116125110.4%
 
0.194378182310.4%
 
-1.48177671410.4%
 
-0.913709223310.4%
 
1.49446380110.4%
 
0.526753008410.4%
 
-0.358558952810.4%
 
0.113300658810.4%
 
-1.02569735110.4%
 
1.31963992110.4%
 
-1.19658684710.4%
 
0.554836273210.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.747183810.4%
 
-1.74332487610.4%
 
-1.69758331810.4%
 
-1.68387758710.4%
 
-1.66345310210.4%
 
-1.62579727210.4%
 
-1.62170314810.4%
 
-1.62018966710.4%
 
-1.61005878410.4%
 
-1.60404765610.4%
 
ValueCountFrequency (%) 
1.74357259310.4%
 
1.73208105610.4%
 
1.69531822210.4%
 
1.69211292310.4%
 
1.6452956210.4%
 
1.63795018210.4%
 
1.63665914510.4%
 
1.6261488210.4%
 
1.55636334410.4%
 
1.55385577710.4%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9094517266514684e-09
Minimum-1.699007511138916
Maximum1.6791936159133911
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:58.594744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.699007511
5-th percentile-1.518211722
Q1-0.9236488938
median-0.02202877868
Q30.9350591749
95-th percentile1.524244982
Maximum1.679193616
Range3.378201127
Interquartile range (IQR)1.858708069

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)343707370.6
Kurtosis-1.259640739
Mean2.909451727e-09
Median Absolute Deviation (MAD)0.9242438031
Skewness0.009602660419
Sum7.273629317e-07
Variance1.000000006
2020-08-25T00:55:58.699538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.59032905110.4%
 
0.00920323561910.4%
 
-0.0321546532210.4%
 
-1.59700584410.4%
 
1.05110585710.4%
 
-1.58820545710.4%
 
1.40891683110.4%
 
-0.991455614610.4%
 
0.10737980910.4%
 
-1.30498802710.4%
 
0.877590537110.4%
 
-0.117022931610.4%
 
1.02373075510.4%
 
-0.766456782810.4%
 
-0.348215490610.4%
 
-1.01981282210.4%
 
1.27366113710.4%
 
-1.355744610.4%
 
-1.52663922310.4%
 
-0.379459559910.4%
 
-1.24342465410.4%
 
0.373445868510.4%
 
1.58130729210.4%
 
-1.05736982810.4%
 
-1.04907214610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.69900751110.4%
 
-1.63760364110.4%
 
-1.63041615510.4%
 
-1.62607932110.4%
 
-1.59700584410.4%
 
-1.59146940710.4%
 
-1.58820545710.4%
 
-1.58627629310.4%
 
-1.58259034210.4%
 
-1.55708718310.4%
 
ValueCountFrequency (%) 
1.67919361610.4%
 
1.67350435310.4%
 
1.65809619410.4%
 
1.63980734310.4%
 
1.62867164610.4%
 
1.60736620410.4%
 
1.60492956610.4%
 
1.6015956410.4%
 
1.59333872810.4%
 
1.58130729210.4%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0118819737670038e-09
Minimum-1.6869238615036009
Maximum1.685193657875061
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:58.824049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.686923862
5-th percentile-1.570471323
Q1-0.920855552
median0.01539580553
Q30.7865917087
95-th percentile1.541284764
Maximum1.685193658
Range3.372117519
Interquartile range (IQR)1.707447261

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)988257548.4
Kurtosis-1.184078127
Mean1.011881974e-09
Median Absolute Deviation (MAD)0.8419371843
Skewness-0.03229826558
Sum2.529704934e-07
Variance0.9999999974
2020-08-25T00:55:58.930586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.159433975810.4%
 
1.04426801210.4%
 
-1.25428175910.4%
 
0.627816498310.4%
 
-1.08240091810.4%
 
-0.275166571110.4%
 
0.713558435410.4%
 
1.14200866210.4%
 
0.320513099410.4%
 
1.37925505610.4%
 
-1.56858527710.4%
 
0.190228655910.4%
 
-1.03925609610.4%
 
0.3872886310.4%
 
-1.60872185210.4%
 
-1.18195974810.4%
 
1.51491308210.4%
 
0.163613557810.4%
 
-0.238442853110.4%
 
-0.0836287513410.4%
 
-1.07977068410.4%
 
0.162269175110.4%
 
-0.475416362310.4%
 
-1.07451438910.4%
 
1.53545117410.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.68692386210.4%
 
-1.67201936210.4%
 
-1.66770172110.4%
 
-1.65974640810.4%
 
-1.64618754410.4%
 
-1.63724994710.4%
 
-1.62669038810.4%
 
-1.60872185210.4%
 
-1.603293310.4%
 
-1.59059381510.4%
 
ValueCountFrequency (%) 
1.68519365810.4%
 
1.68148541510.4%
 
1.67641925810.4%
 
1.66784822910.4%
 
1.65947186910.4%
 
1.65549504810.4%
 
1.63364219710.4%
 
1.62399804610.4%
 
1.59570407910.4%
 
1.57072532210.4%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.617016431116781e-09
Minimum-1.6393309831619265
Maximum1.8123271465301516
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:59.052937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.639330983
5-th percentile-1.517643654
Q1-0.9232970029
median-0.01330436161
Q30.8618442714
95-th percentile1.588529563
Maximum1.812327147
Range3.45165813
Interquartile range (IQR)1.785141274

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)382114528.7
Kurtosis-1.194657933
Mean2.617016431e-09
Median Absolute Deviation (MAD)0.8930716901
Skewness0.07304881657
Sum6.542541078e-07
Variance1
2020-08-25T00:55:59.158256image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.05175721610.4%
 
1.28765070410.4%
 
-1.24348890810.4%
 
-0.356770962510.4%
 
-0.699882268910.4%
 
-0.515860199910.4%
 
0.589512050210.4%
 
-0.464676976210.4%
 
-1.33624589410.4%
 
-1.13749396810.4%
 
-0.0540864281410.4%
 
1.57744240810.4%
 
-0.236251980110.4%
 
-1.2653340110.4%
 
0.284251958110.4%
 
0.785988330810.4%
 
-0.97667014610.4%
 
-1.57547903110.4%
 
-0.707169115510.4%
 
0.464301168910.4%
 
1.21902072410.4%
 
-0.680797815310.4%
 
-0.924448430510.4%
 
1.24928963210.4%
 
-1.13209199910.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-1.63933098310.4%
 
-1.63179671810.4%
 
-1.62483048410.4%
 
-1.61636364510.4%
 
-1.60156655310.4%
 
-1.57879769810.4%
 
-1.57547903110.4%
 
-1.5699778810.4%
 
-1.55844914910.4%
 
-1.55409836810.4%
 
ValueCountFrequency (%) 
1.81232714710.4%
 
1.79217207410.4%
 
1.78755438310.4%
 
1.74325060810.4%
 
1.72209966210.4%
 
1.70007932210.4%
 
1.69221639610.4%
 
1.67360413110.4%
 
1.67167699310.4%
 
1.62591445410.4%
 

target
Real number (ℝ)

UNIQUE

Distinct count250
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.522021532058716e-09
Minimum-2.67684268951416
Maximum2.428424596786499
Zeros0
Zeros (%)0.0%
Memory size2.1 KiB
2020-08-25T00:55:59.276779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.67684269
5-th percentile-1.662904614
Q1-0.6077522784
median-0.005272635492
Q30.6302070916
95-th percentile1.78192845
Maximum2.428424597
Range5.105267286
Interquartile range (IQR)1.23795937

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)396507320.2
Kurtosis-0.1288910948
Mean2.522021532e-09
Median Absolute Deviation (MAD)0.6153994799
Skewness0.0826363181
Sum6.30505383e-07
Variance0.9999999982
2020-08-25T00:55:59.368720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.591307282410.4%
 
-0.865604281410.4%
 
1.32454884110.4%
 
0.453272432110.4%
 
-0.438328295910.4%
 
-1.46424329310.4%
 
-0.684715092210.4%
 
0.142257943710.4%
 
-0.0826188772910.4%
 
-1.29625904610.4%
 
-0.526338815710.4%
 
2.29562807110.4%
 
2.42842459710.4%
 
0.382409304410.4%
 
-0.00447211926810.4%
 
-1.1624296910.4%
 
-0.991837263110.4%
 
0.189010426410.4%
 
-1.67609405510.4%
 
0.716894328610.4%
 
0.517244696610.4%
 
-1.94440054910.4%
 
-0.527007758610.4%
 
-0.151282846910.4%
 
-1.64678418610.4%
 
Other values (225)22590.0%
 
ValueCountFrequency (%) 
-2.6768426910.4%
 
-2.48888564110.4%
 
-2.36585521710.4%
 
-2.12335610410.4%
 
-2.11251664210.4%
 
-2.03533244110.4%
 
-1.98287737410.4%
 
-1.97022473810.4%
 
-1.94440054910.4%
 
-1.74750304210.4%
 
ValueCountFrequency (%) 
2.42842459710.4%
 
2.32969093310.4%
 
2.31825447110.4%
 
2.29562807110.4%
 
2.15833449410.4%
 
2.15193963110.4%
 
2.09867572810.4%
 
2.04185032810.4%
 
1.8362767710.4%
 
1.83583080810.4%
 

Interactions

2020-08-25T00:55:00.801095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:00.935678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.072015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.202084image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.331964image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.463376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.597733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.728482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.860152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:01.995166image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.136423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.276906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.407646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.537155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.674760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.801262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:02.928735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.058947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.189677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.318567image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.439593image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.567717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.692858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.818122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:03.942506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.068722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.193248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.490798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.616443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.741803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:04.868515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.001126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.130677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.255224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.387638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.512407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.641870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.766016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:05.890777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.015921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.132488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.259032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.390946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.515024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.639215image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.762530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:06.886349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.009413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.138209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.266359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.392020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.525899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.653167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.777460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:07.906557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.033767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.329234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.452675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.577354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.703226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.824333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:08.956915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.081744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.206468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.337926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.461977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.585590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.713729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.840087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:09.968476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.092128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.219778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.344198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.470569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.607228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:10.734685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:55:38.415744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:38.538731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:38.666816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:38.795271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:38.918172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.207448image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.344532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.469074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.596342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.730415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.854897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:39.977206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.108378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.236687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.368199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.498153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.621982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.747322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.865549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:40.994442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.124902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.260370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.386467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.511956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.638527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.771537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:41.892919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.016032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.141509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.274623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.397872image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.522681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.655119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:42.781038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.068649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.189036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.316933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.443280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.565117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.701058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.843371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:43.970712image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.096280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.225548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.359432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.483513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.607197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.732548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.858291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:44.981729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.104719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.226250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.361254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.485142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.607904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.728638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.854057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:45.977270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.093868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.219961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.345042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.468537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.592834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:46.885819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.012650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.139417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.263333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.391481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.516466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.643109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.767032image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:47.896655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.035930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.163644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.290905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.421763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.559745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.684233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.801736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:48.933359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.059851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.185069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.310502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.438087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.560967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.686080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.811575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:49.939398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.068702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.201540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.329082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.456971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.759426image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:50.892293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.019611image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.154255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.279795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.403811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.518969image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.636245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.748831image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.862097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:51.973762image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.085415image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.197615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.310236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.424521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.537156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.650481image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.767509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:52.887538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.000946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.121988image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.234925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.350254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.466224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.579761image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:53.695246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:55:59.503987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:55:59.789882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:56:00.102174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:56:00.403103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:55:53.955560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:55:54.406417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

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0-1.3499700.8049410.3791731.379168-1.493169-1.224520-0.1966770.5666080.415323-1.0521550.2718440.712645-0.399476-1.465527-0.464141-0.9852171.607366-0.937858-0.0567190.368305
1-0.1738291.158927-1.256782-1.371650-0.600696-0.5350341.1687701.1255080.6152260.6896241.166750-1.742853-1.2578310.3200891.2367791.129194-0.7889430.530484-0.7906070.459788
20.1240551.554421-0.270107-0.9908280.7183870.424073-0.893270-1.3629800.713024-1.152437-0.0121371.179749-1.537993-1.359262-0.4787300.877768-0.814202-1.5280521.051178-2.035332
3-0.683140-0.0058600.1907431.3876931.490677-1.005690-0.001424-0.4009641.526251-0.768584-0.271066-0.0876820.942110-0.1440801.373477-0.9244020.707796-0.6165630.5895120.083528
4-1.319984-0.012070-0.757503-0.8135600.1029411.4567490.1062381.082149-1.474305-0.8909130.4875860.7432310.4548830.563355-1.6591500.906794-0.982606-0.984005-0.100273-0.154488
5-1.2259000.7059011.7806590.804281-1.518646-0.740514-1.008223-1.2732830.0061650.031961-0.970231-1.6823320.8275960.566480-1.182260-1.2107641.566433-1.4877671.171088-0.602900
6-0.138844-1.728980-0.3908500.6289711.458301-1.1948890.753492-0.2555100.922860-1.0016290.365047-1.6157611.140905-1.725660-1.4983870.8779791.394330-1.402590-0.425240-1.270703
7-1.5724460.462647-1.2315871.485548-0.774366-1.3205910.4258291.403019-0.094321-0.9098760.3557840.133244-0.1968651.423509-0.472044-1.0819550.9995200.744412-1.341747-0.193512
8-1.123570-0.0461080.272434-0.731377-1.243557-1.3262850.5144010.0597701.538881-1.139029-1.1400510.767659-0.6348720.3546441.439581-0.809256-0.8164200.591581-0.9274221.314185
90.9807360.440401-0.3159290.0585081.549262-1.5314121.3411590.1772190.8117310.218986-0.9500491.538509-0.7315520.6490530.5879230.0817831.172436-0.0502500.2917160.586003

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
2400.8780811.5330390.937827-1.327060-0.7792140.6845020.063049-0.0021680.5864511.098431-1.863518-1.186254-1.1841361.265935-1.1253660.879171-0.870538-0.8676970.0784462.041850
241-0.5451821.009752-0.086680-1.549125-0.9800570.696665-0.9441650.1688080.194963-1.3408751.620390-0.175403-1.537513-0.8052660.9714360.5444420.986060-0.0625160.2842520.940661
242-1.106692-0.4524801.202589-1.239785-1.488324-1.644767-1.528799-0.2987091.3799961.5060130.7521130.3584711.4340990.4131400.0674180.9490920.3428681.240813-0.5158600.779750
243-0.754127-0.5068901.268447-0.256976-0.8396601.5260501.184463-0.097676-1.3042100.0941391.382715-0.384561-1.622749-0.870647-1.2939890.4535231.1178990.9918841.4337720.602878
244-0.8107040.563186-1.069439-1.6153040.7067900.7784971.339817-1.6450910.870674-1.429972-0.3491531.488406-0.0761880.0854831.1393910.972890-0.9383811.142009-0.699882-0.885507
245-1.449757-0.9517271.1979761.509884-1.5296941.2391520.979507-0.3294261.513497-0.3606490.8846190.705369-0.3465930.199846-0.2986060.147856-0.475565-0.8135920.3252020.721997
246-0.300848-1.763586-0.8969040.7343490.352475-1.088696-0.5591960.336864-0.806097-0.7907420.2149941.1755581.3892820.3617900.9802861.743573-0.508174-0.965806-1.116271-0.023728
2471.0810981.1605521.0848501.356667-1.123769-0.902135-0.838326-0.168163-0.8418720.9305590.853061-0.1963660.1048241.716897-1.356244-1.4510581.581307-0.2384430.8652871.291377
2480.3070481.1534520.535157-1.445762-1.469277-1.339451-1.6098551.0456360.312295-0.729163-1.3215680.695752-0.4060600.621736-1.4485531.3411611.6791941.6814850.9801580.960577
2491.0596980.378317-1.171265-0.025874-0.754583-0.2271560.2775261.4517531.4806970.360020-1.464015-0.4610431.0843340.021491-1.0684610.658231-0.368866-0.087123-0.934927-0.574959